Physical plant-like shape-changing charts deliver promising readability and superior naturalness for environmental data, enabling public installation without explanations when folded shapes encode rates from zero to a maximum value.
Dillahunt and Jennifer Mankoff
2 Pith papers cite this work. Polarity classification is still indexing.
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AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
citing papers explorer
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Shaping Plant-Like Shape-Changing Interfaces as Vertical Charts: Maximizing Readability, Aesthetics, and Naturalness
Physical plant-like shape-changing charts deliver promising readability and superior naturalness for environmental data, enabling public installation without explanations when folded shapes encode rates from zero to a maximum value.
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Regimes of Scale in AI Meteorology
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.